Hi,
I use Noisy-or belief network in information filtering. But I do
know how to estimate the paramter (Namely, Cij)from data. Futhmore, there
are hidden variables in the network, I do not know how to deal with them.
Maybe EM algorithm is workable.
I wonder general methods of parameter estimation in belief network
can apply to Noisy-or model, or there are may-be good methods for
simplified networks.
Thanks in advance for any suggestions.
Tong.
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